2 papers
cond-mat.mtrl-sci2020
A Systematic Approach to Generating Accurate Neural Network Potentials: the Case of Carbon
Yusuf Shaidu, Emine Kucukbenli, Ruggero Lot +3
Availability of affordable and widely applicable interatomic potentials is the key needed to unlock the riches of modern materials modelling. Artificial neural network based approa…
physics.comp-ph2019
PANNA: Properties from Artificial Neural Network Architectures
Ruggero Lot, Franco Pellegrini, Yusuf Shaidu +1
Prediction of material properties from first principles is often a computationally expensive task. Recently, artificial neural networks and other machine learning approaches have b…